State-of-health estimators coupled to a random forest approach for lithium-ion battery aging factor ranking

Electrified vehicles users may expect their vehicle to have a steady autonomy range and available power throughout the lifetime of their cars. The health assessment of Lithium-ion batteries (LIBs), in that regard, represents a critical point for performance evaluation and lifetime prediction. Reliab...

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Veröffentlicht in:	Journal of power sources 2021-02, Vol.484, p.229154, Article 229154
Hauptverfasser:	Mawonou, Kodjo S.R., Eddahech, Akram, Dumur, Didier, Beauvois, Dominique, Godoy, Emmanuel
Format:	Artikel
Sprache:	eng
Schlagworte:	Aging factors ranking Automatic Electric power Engineering Sciences Li-ion battery Machine Learning Random forest SoH estimation Statistics
Online-Zugang:	Volltext
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